Distraction descriptor for brainprint authentication modelling using probability-based incremental fuzzy-rough nearest neighbour technique
The characteristics of uniqueness and proof of aliveness have driven the research in Brainprint as a biometric modality. Brainprint measuring by Electroencephalogram (EEG) suffers from low signal-to-noise ratio and are varied across time. Most of the brainprint authentication models were tested in w...
Saved in:
Main Author: | |
---|---|
Format: | Thesis |
Language: | English English |
Published: |
2021
|
Subjects: | |
Online Access: | http://eprints.utem.edu.my/id/eprint/26097/1/Distraction%20descriptor%20for%20brainprint%20authentication%20modelling%20using%20probability-based%20incremental%20fuzzy-rough%20nearest%20neighbour%20technique.pdf http://eprints.utem.edu.my/id/eprint/26097/2/Distraction%20descriptor%20for%20brainprint%20authentication%20modelling%20using%20probability-based%20incremental%20fuzzy-rough%20nearest%20neighbour%20technique.pdf http://eprints.utem.edu.my/id/eprint/26097/ https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=121346 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!